No Code AI/ML platform

Related tags

Deep LearningNoCodeAIML
Overview

NoCodeAIML

No Code AI/ML platform - Community Edition

Watch the video credits: Uday Kiran

Video credits: Uday Kiran

Typical No Code AI/ML Platform will have features like drag and drop, data source connectivity, social media analysis, analytics, and content analysis.No code AI/ML platform can be built using python and streamlit, which helps in images analysis. The analytical data in the no-code AI/ML platform is imported, validated, cleansed, trained, and testing of the model. New scenarios come in due to unseen data and the model is refined for predictive analytics.

Planning to add more features, please contribute.

check out my article on AI4 blog No Code AI/ML Platform

alt text

Use Cases

1.analyze text messages
2.classify shipping documents
3.categorize social media pictures
4.categorize Instagram pictures
5.check onboarding documents
6.categorize startups by description
7.filter startup databases for investment decisions
8.categorizing emails
9.tracking keyword engagement
10.social listening
11.categorizing app crash reports using NLP
12.moderate user-generated content
13.insurance claims identification
14.quality inspection
15.auto-tagging real estate images,
16.tagging email attachments
17.categorizing support tickets
18.analyze text responses of surveys
19.track social sentiments
20.categorizing SMS responses
21.recognize shipping documents

Features

1.Data Visualization
2.Data Analysis
3.Machine Learning Algorithms
4.Image Analysis
5.NLP & NLU
6.WebRTC API
7.Drawing API
8.Grids for tables

Instructions for setting up locally - webapp

  1. Ensure that python3 and streamlit

2.git clone this repository

git clone https://github.com/bhagvank/NoCodeAIML.git
  1. Install the required packages
pip3 install -r requirements.txt
  1. Run streamlit
streamlit run main.py
Owner
Bhagvan Kommadi
Bhagvan founded Quantica Computacao, the first quantum computing startup in India.
Bhagvan Kommadi
GitHub Repository
FAMIE is a comprehensive and efficient active learning (AL) toolkit for multilingual information extraction (IE)

FAMIE: A Fast Active Learning Framework for Multilingual Information Extraction

18 Sep 01, 2022
FedTorch is an open-source Python package for distributed and federated training of machine learning models using PyTorch distributed API

FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.

Machine Learning and Optimization Lab @PennState 136 Dec 23, 2022
A blender add-on that automatically re-aligns wrong axis objects.

Auto Align A blender add-on that automatically re-aligns wrong axis objects. Usage There are three options available in the 3D Viewport Sidebar It

29 Nov 25, 2022
验证码识别 深度学习 tensorflow 神经网络

captcha_tf2 验证码识别 深度学习 tensorflow 神经网络 使用卷积神经网络，对字符，数字类型验证码进行识别，tensorflow使用2.0以上 目前项目还在更新中,诸多bug，欢迎提出issue和PR, 希望和你一起共同完善项目。 实例demo 训练过程 优化器选择: Adam

5 Apr 28, 2022
A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.

3d-pose-baseline This is the code for the paper Julieta Martinez, Rayat Hossain, Javier Romero, James J. Little. A simple yet effective baseline for 3

Julieta Martinez 1.3k Jan 03, 2023
Pytorch implementation of the paper: "SAPNet: Segmentation-Aware Progressive Network for Perceptual Contrastive Image Deraining"

SAPNet This repository contains the official Pytorch implementation of the paper: "SAPNet: Segmentation-Aware Progressive Network for Perceptual Contr

11 Oct 17, 2022
Pytorch implementation of "Training a 85.4% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet"

Token Labeling: Training an 85.4% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet (arxiv) This is a Pytorch implementation of our te

蒋子航 383 Dec 27, 2022
Deep learning library featuring a higher-level API for TensorFlow.

TFLearn: Deep learning library featuring a higher-level API for TensorFlow. TFlearn is a modular and transparent deep learning library built on top of

TFLearn 9.6k Jan 02, 2023
DeepLab resnet v2 model in pytorch

pytorch-deeplab-resnet DeepLab resnet v2 model implementation in pytorch. The architecture of deepLab-ResNet has been replicated exactly as it is from

Isht Dwivedi 601 Dec 22, 2022
Registration Loss Learning for Deep Probabilistic Point Set Registration

RLLReg This repository contains a Pytorch implementation of the point set registration method RLLReg. Details about the method can be found in the 3DV

Felix Järemo Lawin 35 Nov 02, 2022
An image processing project uses Viola-jones technique to detect faces and then use SIFT algorithm for recognition.

Attendance_System An image processing project uses Viola-jones technique to detect faces and then use LPB algorithm for recognition. Face Detection Us

8 Jan 11, 2022
Node-level Graph Regression with Deep Gaussian Process Models

Node-level Graph Regression with Deep Gaussian Process Models Prerequests our implementation is mainly based on tensorflow 1.x and gpflow 1.x: python

1 Jan 16, 2022
Migration of Edge-based Distributed Federated Learning

FedFly: Towards Migration in Edge-based Distributed Federated Learning About the research Due to mobility, a device participating in Federated Learnin

qub-blesson 11 Nov 13, 2022
Language-Driven Semantic Segmentation

Language-driven Semantic Segmentation (LSeg) The repo contains official PyTorch Implementation of paper Language-driven Semantic Segmentation. Authors

Intelligent Systems Lab Org 416 Jan 03, 2023
code associated with ACL 2021 DExperts paper

DExperts Hi! This repository contains code for the paper DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts to appear at

Alisa Liu 68 Dec 15, 2022
Sketch-Based 3D Exploration with Stacked Generative Adversarial Networks

pix2vox [Demonstration video] Sketch-Based 3D Exploration with Stacked Generative Adversarial Networks. Generated samples Single-category generation M

Takumi Moriya 232 Nov 14, 2022
Point cloud processing tool library.

Point Cloud ToolBox This point cloud processing tool library can be used to process point clouds, 3d meshes, and voxels. Environment python 3.7.5 Dep

ZhangXinyun 40 Dec 09, 2022
A library for Deep Learning Implementations and utils

deeply A Deep Learning library Table of Contents Features Quick Start Usage License Features Python 2.7+ and Python 3.4+ compatible. Quick Start $ pip

Achilles Rasquinha 1 Dec 12, 2022
【ACMMM 2021】DSANet: Dynamic Segment Aggregation Network for Video-Level Representation Learning

DSANet: Dynamic Segment Aggregation Network for Video-Level Representation Learning (ACMMM 2021) Overview We release the code of the DSANet (Dynamic S

Wenhao Wu 46 Dec 27, 2022
Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships.

feature-set-comp Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships. Reposito

Trent Henderson 7 May 25, 2022